Multi-Residential Demand Response Scheduling with Multi-Class Appliances in Smart Grid

Seokjae Moon, Jang Won Lee

Research output: Contribution to journalArticlepeer-review

87 Citations (Scopus)


In this paper, we study a multi-residential electricity load scheduling problem with multi-class appliances in smart grid. Compared with the previous works in which only limited types of appliances are considered or only single residence grids are considered, we model the grid system more practically with jointly considering multi-residence and multi-class appliance. We formulate an optimization problem to maximize the sum of the overall satisfaction levels of residences which is defined as the sum of utilities of the residential customers minus the total cost for energy consumption. Then, we provide an electricity load scheduling algorithm by using a PL-Generalized Benders Algorithm which operates in a distributed manner while protecting the private information of the residences. By applying the algorithm, we can obtain the near-optimal load scheduling for each residence, which is shown to be very close to the optimal scheduling, and also obtain the lower and upper bounds on the optimal sum of the overall satisfaction levels of all residences, which are shown to be very tight.

Original languageEnglish
Pages (from-to)2518-2528
Number of pages11
JournalIEEE Transactions on Smart Grid
Issue number4
Publication statusPublished - 2018 Jul

Bibliographical note

Funding Information:
Manuscript received May 3, 2016; revised August 11, 2016; accepted September 21, 2016. Date of publication September 29, 2016; date of current version June 19, 2018. This work was supported in part by Midcareer Researcher Program through NRF grant funded by the MSIP, Korea (2013R1A2A2A01069053). Paper no. TSG-00594-2016.

Publisher Copyright:
© 2010-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science(all)


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